Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves, Director of the US Census Bureau. Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need ...
Finding ways to effectively map population data is a big issue in spatial data visualization. The standard practice uses choropleth maps that simply colour administrative units based on the combined characteristics of the people that live there (see below). These maps are popular with cartographers for a couple of reasons. You get a clear sense that the ...
As a cyclist in London you can do your best to avoid left turning buses and dozy pedestrians. One thing you can’t really avoid though is pollution (although I accept cyclists probably aren’t much worse off than pedestrians and drivers in this respect). To illustrate this I have taken data for 3.2 million journeys from ...
The above map (and this one) was produced using R and ggplot2 and serve to demonstrate just how sophisticated R visualisations can be. We are used to seeing similar maps produced with conventional GIS platforms or software such as Processing but I hadn’t yet seen one from the R community (feel free to suggest some ...
If I said a country was 1594719800 metres squared it would mean a lot less to you than if I said it was about the size of Greater London (so long as you know about how big Greater London is). For this reason the media tend to report the extent of a flood in ...
Yesterday the government released data about the size of the central civil estate. The infographic shows this (green box) compared to well-known geographic features in Britain. The government press release stated that the data are a snapshot of the estate and shows that at 1 September 2011: the estate covered by this data is 16, 411, 676 ...
I have been using R (a free statistics and graphics software package) now for the past four years or so and I have seen it become an increasingly powerful method of both analysing and visualising spatial data. Crucially, more and more people are writing accessible tutorials (see here) for beginners and intermediate users and the development ...
It would be a shame to end the year without a festive map! Jack Harrison (@jacksfeed) is studying for a research masters in “Advanced Spatial Analysis and Visualisation” at UCL. I teach on the course and it obviously hasn’t worked Jack hard enough this term as he has had time to slack off and produce ...
I have spent the last few years investigating the geography of family names (also called surnames). I work with the team who assembled the UCL Department of Geography Worldnames Database that contains the names and geographic locations of over 300 million people in nearly 30 countries (a few of these are yet to be added to the website). My research has ...
As 2011 draws to a close it is worth reflecting on what, I think, has been a defining year for mapping and spatial analysis. Geographic data have become open, big, and widely available, leading to the production of new and interesting maps on an almost daily basis. The increasing utilisation of technology such as Google Fusion Tables has ...
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